Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-opennpx agentmods add skills/thomasmoreai/legal-skills-open/zhihe-legal-researchWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/thomasmoreai/legal-skills-open/zhihe-legal-research)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/zhihe-legal-research"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/zhihe-legal-research/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/zhihe-legal-research"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/zhihe-legal-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00055 | $0.02228 |
| Opus 5 | $0.00028 | $0.01114 |
| Sonnet 5 | $0.00011 | $0.00446 |
| Haiku 4.5 | $0.00006 | $0.00223 |
Grade A, and why
zhihe-legal-research scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.
智合法律研究
连接智合AI法律大模型平台,提供专业的法律调研分析服务。
⚠️ 异步任务处理机制
法律研究是异步长任务(3-10分钟)。采用用户主动查询机制,兼容所有 AI Agent 平台(Claude Code、OpenClaw 等):
用户提交 → 获得任务 ID → 用户稍后主动查询 → 获取结果并归档
核心原则:
- 不在每次消息前自动检查结果——避免旧结果污染当前对话
- 仅在用户主动询问研究结果时才查询状态和结果
- 每次查询完毕后立即归档——确保状态干净,不留残留数据
工作流程
步骤 1:检查登录状态
./scripts/auth.sh check
is_vip: true→ 已登录,继续code: 401→ 需要登录(执行步骤 2)
步骤 2:登录(如需)
# 发送验证码(如果已保存手机号,可省略手机号参数)
./scripts/auth.sh send-code [手机号]
# 验证登录(自动保存 Token 和手机号)
./scripts/auth.sh verify <手机号> <6位验证码>
自动重登流程:如果 config 中已保存 LEGAL_RESEARCH_PHONE,token 失效时可直接执行 ./scripts/auth.sh send-code(无需传入手机号),系统自动使用保存的手机号发送验证码。用户只需提供验证码即可完成重登。
步骤 3:提交法律问题
# 提交问题
./scripts/research.sh submit "<用户的法律问题>"
提交成功后,记录 task_id 并告知用户:
✅ 您的法律问题已提交,后台正在进行调研分析。 ⏱️ 预计需要 3-4 分钟完成。 📋 任务 ID:
{task_id}👉 请在约 4 分钟后回复"查看结果"或"研究结果好了吗"来获取分析报告。
步骤 4:查询结果(仅当用户主动询问时)
触发条件: 用户主动询问研究结果(如"查看结果"、"结果出来了吗"等)。
如果用户提供了 task_id,直接查询;如果未提供,先查历史获取最近任务:
# 如果没有 task_id,先查历史
./scripts/research.sh history 1 3
然后查询状态:
# 查询状态
./scripts/research.sh status <task_id>
根据状态处理:
| 状态 | 处理方式 |
|---|---|
completed |
获取结果 → 获取报告 → 归档 → 展示给用户 |
running |
告知用户继续等待 1-2 分钟后再查询 |
pending |
告知用户仍在排队中,稍后再查 |
failed |
告知用户失败原因,建议重新提交 |
timeout |
告知用户超时,建议简化问题重试 |
当状态为 completed 时,依次执行:
# 1. 获取文字结果
./scripts/research.sh result <task_id>
# 2. 获取报告下载链接
./scripts/research.sh report <task_id>
# 3. 自动归档(下载报告到 archive/ 目录,含 Markdown 转换)
./scripts/research.sh archive <task_id>
归档完成后,展示研究结果和报告链接给用户。
Claude Code 增强模式(可选)
仅在 Claude Code 环境下可用。 提供更好的异步体验,无需用户手动查询。
提交任务后,使用 Bash 工具的 run_in_background: true 启动后台监控:
command: "./scripts/monitor.sh monitor <task_id> 600 30"
run_in_background: true
timeout: 600000
关键注意事项:
- timeout 必须设为 600000(10分钟),否则默认 2 分钟会超时
- 后台监控完成后会自动收到通知,此时展示结果给用户
- 监控脚本会自动归档到
archive/目录
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 257 lines · 55 tokens per session scan A 9cf30025ff38
zhihe-legal-research is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (72 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 55 tokens to every session and 2,228 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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